Fullstack Software Engineer

physicalintelligence; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Physical Intelligence is building AI for the physical world and seeks an engineer to own annotation tooling and end‑to‑end production workflows. You will design interfaces, pipelines, and dashboards for researchers and operators across lab, warehouse, and real‑world deployments.

You’ll ship reliable frontend, backend, and cloud services while coordinating with researchers to translate needs into scalable software.

Qualifications

• Strong full stack engineering experience building production web applications and APIs.
• Experience with relational databases (Postgres) and analytical systems (ClickHouse).
• Familiarity with cloud and containerized environments such as GCP and Kubernetes.
• Ability to design workflows where people, models, and software function as one system.
• Experience working directly with users, iterating from feedback and evolving requirements.

Responsibilities

• Own annotation tooling: build platform and workflows for annotation generation and pipelines.
• Make annotation legible: track quality, cost, throughput, and coverage for researchers.
• Own researcher request and planning workflows: redesign workflows and build capacity/tradeoff insights.
• Build research and ops‑facing tooling: dashboards, dataset browsing, and throughput/quality tracking.
• Act as your own PM: gather requirements, prioritize, write specs, ship tools, drive adoption.
• Ship production‑quality software: frontend interfaces, backend APIs, data models, dashboards, cloud services.

Skills

Full stack engineering

React

TypeScript

Python

Product judgment

User collaboration

Tools

React

TypeScript

Python

PostgreSQL

ClickHouse

GCP

Kubernetes

Job description

Physical Intelligence is bringing general‑purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically‑actuated devices of the future.

The Team

Fullstack builds the internal software the rest of Pi runs on. Our users span the path from research intent to physical execution: researchers designing experiments and requesting data, Research Ops working across feasibility, task design, environments, prototyping, and instructions, and Production Ops running data collection, evals, and deployments across our lab, warehouse, and real‑world deployments.

Annotation sits at the front of that chain, determining what our models learn from the data we collect, and this is where this role will start.

In This Role You Will

• Own annotation tooling: Build the platform and workflows for annotation generation, from the interfaces annotators work in to the pipelines behind them, and translate requirements from researchers into an actionable plan and the software to execute it.
• Make annotation legible: Build the systems that track quality, cost, throughput, and coverage so researchers can see what they are getting and decide what to change.
• Own researcher request and planning workflows: Redesign how researchers and prototypers turn ambiguous research needs into executable work, and create the software layer for understanding capacity and making tradeoffs across competing priorities.
• Build research and ops‑facing tooling: Dataset browsing, eval dashboards, and the throughput, quality, and progress tracking Production Ops needs across our lab, warehouse, and real‑world sites.
• Act as your own PM: Gather requirements, prioritize work, define success metrics, write specs, ship tools, drive adoption, and iterate based on feedback.
• Ship production‑quality software: Build reliable frontend interfaces, backend APIs, data models, dashboards, and cloud services. You should be comfortable shipping and supporting production‑grade services.

What We Hope You'll Bring

• Strong full stack engineering experience building production web applications and APIs, especially with React, TypeScript, and Python.
• Experience with relational databases (we use Postgres), analytical systems (ClickHouse), and queueing systems.
• Familiarity with cloud and containerized environments such as GCP and Kubernetes.
• Comfort designing workflows where people, models, and software have to function as one system.
• Strong product judgment and attention to detail.
• Experience working directly with users, iterating from feedback, and navigating ambiguous workflows and evolving requirements.
• Ability to start with a practical v0 and build toward scalable, production‑quality systems.

Bonus Points

• Former founder, early employee, or other demonstration of comfort with ambiguity and solving hard problems end to end.
• Experience building data labeling platforms, human‑in‑the‑loop tools, or other data‑centric AI systems.
• Experience building internal tools specifically for research, robotics, or operationally‑intensive problems.
• Experience with tasking systems, instruction management, scheduling, resource allocation, or workflow orchestration.
• Experience with our specific stack: React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.